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At least 19 recordsLinked to original sources
PubMed1985

Alternative dual system network estimators.

"When there are two or more data systems and none of them enumerates the population at an acceptable completeness level, concern about the bias due to underenumeration suggests an estimator which makes joint use of data compiled by the combined imperfect data systems. Conventional dual system estimators are based on the existence of two separate data collection systems. Dual system network estimators assume a main survey and a follow-up quality check survey. The main survey adopts a multiplicity counting rule that combines two mutually exclusive partial counting rules." Three dual system network estimators are presented. "One was previously proposed by Sirken (1979) and is the natural analogue of the conventional dual system estimator. The two other estimators are proposed as potential improvements, although neither of them is the natural analogue of the conventional dual system estimator. The design effects of the three estimators are compared analytically and empirically with one another, and with those of the single system conventional and network estimators." (summary in FRE)

Data Collection↗
PubMed1981

The risk of childbearing re-evaluated.

To determine the completeness of reporting of maternal deaths after live born deliveries in Georgia for 1975 and 1976, we matched death certificates with corresponding birth certificates for women of reproductive age. For these two years, more intensive searching led to our finding a minimum of a 27 per cent higher number of maternal deaths than that found by routine death certificate surveillance. When the delivery-death interval was not restricted to 42 days, use of the record linkage method led to a 50 per cent increase in reporting of maternal deaths. We recommend that special efforts be made to obtain more complete reporting of all pregnancy-related deaths and that completeness of reporting be periodically evaluated for all states.

Adolescent↗
PubMed1998

Comparative evaluation of underlying causes of death processed by the Automated Classification of Medical Entities and the Underlying Cause of Death Selection Systems.

INTRODUCTION: The correct identification of the underlying cause of death and its precise assignment to a code from the International Classification of Diseases are important issues to achieve accurate and universally comparable mortality statistics. These factors, among other ones, led to the development of computer software programs in order to automatically identify the underlying cause of death. OBJECTIVE: This work was conceived to compare the underlying causes of death processed respectively by the Automated Classification of Medical Entities (ACME) and the "Sistema de Seleção de Causa Básica de Morte" (SCB) programs. MATERIAL AND METHOD: The comparative evaluation of the underlying causes of death processed respectively by ACME and SCB systems was performed using the input data file for the ACME system that included deaths which occurred in the State of S. Paulo from June to December 1993, totalling 129,104 records of the corresponding death certificates. The differences between underlying causes selected by ACME and SCB systems verified in the month of June, when considered as SCB errors, were used to correct and improve SCB processing logic and its decision tables. RESULTS: The processing of the underlying causes of death by the ACME and SCB systems resulted in 3,278 differences, that were analysed and ascribed to lack of answer to dialogue boxes during processing, to deaths due to human immunodeficiency virus [HIV] disease for which there was no specific provision in any of the systems, to coding and/or keying errors and to actual problems. The detailed analysis of these latter disclosed that the majority of the underlying causes of death processed by the SCB system were correct and that different interpretations were given to the mortality coding rules by each system, that some particular problems could not be explained with the available documentation and that a smaller proportion of problems were identified as SCB errors. CONCLUSION: These results, disclosing a very low and insignificant number of actual problems, guarantees the use of the version of the SCB system for the Ninth Revision of the International Classification of Diseases and assures the continuity of the work which is being undertaken for the Tenth Revision version.

Cause of Death↗
PubMed1986

Some coverage error models for census data.

"Alternative models are presented for representing coverage error in surveys and censuses of human populations. The models are related to the capture-recapture models used in wildlife applications and to the dual-system models employed in the vital events literature. Estimation methodologies are discussed for one of the coverage error models." After a discussion of the theory underlying the methodology, "distinctions are made between two kinds of error: (a) sampling error and (b) error associated with the model. An example involving data from the 1980 U.S. census is presented. The problem of adjusting census and survey data for coverage error is also discussed."

Americas↗
PubMedDate not supplied

Infant mortality in a Mexican-American community: Laredo, Texas, 1950-1977.

Published infant mortality rates (IMR's) for Mexican-American populations frequently are lower than expected given the socioeconomic status (SES) of these populations. It has been speculated that this is due to bias or incompleteness in Mexican-American vital statistics. In this paper an extensive genealogical data base constructed from Catholic church records and civil records for the border city of Laredo, Texas is used to study this problem. The infant mortality probabilities (IMP's) since 1950 are compared to conventional IMR's, both based strictly on the population at risk defined by baptisms, in which the deaths are a proper subset of the denominator, and these are compared with IMR's calculated in the usual way from aggregate civil records of births and infant deaths for Laredo. We find that when these data are used, the IMR's for the most recent years are about twice the conventional rates computed from registered vital statistics.

Bias↗
PubMed1993

Using information from demographic analysis in post-enumeration survey estimation.

"Population estimates from the 1990 Post-Enumeration Survey (PES), used to measure decennial census undercount, were obtained from dual system estimates (DSE's) that assumed independence within strata defined by age-race-sex-geography and other variables. We make this independence assumption for females, but develop methods to avoid the independence assumption for males within strata by using national level sex ratios from demographic analysis (DA).... We consider several...alternative DSE's, and use DA results for 1990 to apply them to data from the 1990 U.S. census and PES."

Americas↗
PubMed1986

Peripheral counter-urbanization: findings from an integration of census and survey data in Northern Scotland.

"This paper systematically relates local survey data to national census data in an investigation of one peripheral form of counter-urbanization now regarded as widely present in developed countries. The recent growth and spatial distribution of long-distance English migration to the Highlands and Islands of Scotland is described, and then 'explained' through multivariate analysis of cross-sectional data and through the stated motivations and characteristics of surveyed migrants to some of the remoter, rural parts of the region. The study reveals the importance of environmental and quality of life considerations." (summary in FRE, GER)

Behavior↗